A General Method of Segmentation-Recognition Collaboration Applied to Pairs of Touching and Overlapping Symbols

Christophe Renaudin 1, * Yann Ricquebourg 1 Jean Camillerapp 1
* Auteur correspondant
1 IMADOC - Interprétation et Reconnaissance d’Images et de Documents
UR1 - Université de Rennes 1, INSA Rennes - Institut National des Sciences Appliquées - Rennes, CNRS - Centre National de la Recherche Scientifique : UMR6074
Abstract : In this paper, we present a general method to segment and recognize pairs of touching and overlapping symbols. The method, whose purpose is to lead to a generic approach in future works, is based on the evaluation of several segmentation candidates produced by grouping elements of an over-segmentation. A pure general method would involve a high number of segmentation candidates. An adaptive introduction of heuristics, representing the knowledge dedicated to the applicative domain, allows to decrease this number. We have largely tested the method on pairs of touching and overlapping digits.
Type de document :
Communication dans un congrès
IEEE Computer Society. 9th International Conference on Document Analysis and Recognition - ICDAR 2007, Sep 2007, Curitiba, Brazil. pp.659-663, 2007, 〈10.1109/ICDAR.2007.11〉
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https://hal.archives-ouvertes.fr/hal-00300248
Contributeur : Christophe Renaudin <>
Soumis le : jeudi 17 juillet 2008 - 17:33:04
Dernière modification le : vendredi 16 novembre 2018 - 01:21:48

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Christophe Renaudin, Yann Ricquebourg, Jean Camillerapp. A General Method of Segmentation-Recognition Collaboration Applied to Pairs of Touching and Overlapping Symbols. IEEE Computer Society. 9th International Conference on Document Analysis and Recognition - ICDAR 2007, Sep 2007, Curitiba, Brazil. pp.659-663, 2007, 〈10.1109/ICDAR.2007.11〉. 〈hal-00300248〉

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